Carestream Health of Rochester, NY, has installed a new RIS mammography module in Denmark, the company announced.
The module is being used for mammography screening administration in three of Denmark's five regions, and its development was initiated by Ringsted Sygehus in the Sjaelland Region, following a successful bid for government funding to finance the project.
The new module includes double-blind reading capability and customized order entry. It can be configured to enable the extraction of statistical data for workflow analysis, research, and improved administration. In addition to being installed at Ringsted Sygehus, it also is now installed at Rigshospitalet/Herlev in the Hovedstaden Region and Arhus Sygehus in the Midtjylland Region; the three regions manage 60% of all mammography screening in Denmark.
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Carestream launches expanded IMS, June 19, 2008
Carestream adds GM, June 12, 2008
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![Overview of the study design. (A) The fully automated deep learning framework was developed to estimate body composition (BC) (defined as subcutaneous adipose tissue [SAT] in liters; visceral adipose tissue [VAT] in liters; skeletal muscle [SM] in liters; SM fat fraction [SMFF] as a percentage; and intramuscular adipose tissue [IMAT] in deciliters) from MRI. The fully automated framework comprised one model (model 1) to quantify different BC measures (SAT, VAT, SM, SMFF, and IMAT) as three-dimensional (3D) measures from whole-body MRI scans. The second model (model 2) was trained to identify standardized anatomic landmarks along the craniocaudal body axis (z coordinate field), which allowed for subdividing the whole-body measures into different subregions typically examined on clinical routine MRI scans (chest, abdomen, and pelvis). (B) BC was quantified from whole-body MRI in over 66,000 individuals from two large population-based cohort studies, the UK Biobank (UKB) (36,317 individuals) and the German National Cohort (NAKO) (30,291 individuals). Bar graphs show age distribution by sex and cohort. BMI = body mass index. (C) After the performance assessment of the fully automated framework, the change in BC measures, distributions, and profiles across age decades were investigated. Age-, sex-, and height-adjusted body composition reference curves were calculated and made publicly available in a web-based z-score calculator (https://circ-ml.github.io).](https://img.auntminnieeurope.com/mindful/smg/workspaces/default/uploads/2026/05/body-comp.XgAjTfPj1W.jpg?auto=format%2Ccompress&dpr=2&fit=crop&h=167&q=70&w=250)
